Conversion of Volunteer-Collected GPS Diary Data into Travel Time Performance Measures: Literature Review, Data Requirements, and Data Acquisition Efforts

Abstract

Conventional travel-survey methodologies require the collection of detailed activity-travel information, which impose a significant burden on respondents, thereby adversely impacting the quality and quantity of data obtained. Advances in the Global Positioning System (GPS) technology has provided transportation planners with an alternative and powerful tool for more accurate travel-data collection with minimal user burden. The data recorded by GPS devices, however, does not directly yield travel information; the navigational streams have to be processed and the travel patterns derived from it. The focus of this research project is to develop software to automate the processing of raw GPS data and to generate outputs of activity-travel patterns in the conventional travel-diary format. The software will identify trips and characterize them by several attributes including trip-end locations, trip purpose, time of day, distance, and speed. Within the overall focus of the research, this report describes the data collection equipment specifications, data collection protocols, and data formats, and presents a comprehensive synthesis of the state of the practice/art in processing GPS data to derive travel diaries. This synthesis is intended as the basis for developing input specifications and processing algorithms for the software. A second objective of this report is to identify the data requirements for the software development purposes and document the efforts undertaken to acquire the data.

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